New Neural Network and Generative AI - advice please

I’ve been developing a generative AI for a short time now and have realized I’m not doing it like other people. It stated when I found this really cool math equation that I turned into the best algorithm in the world, I will fight you on it, it open source on gitlab . In my labs that I did my theoretical work, this network can do some serious work. It’s a blend between three types of networks using user neural network and deep Resonance Learning, DRL works off from something I call the harmony vector. Im planning on doing training soon and am currently looking for some advice. My code is okay, I need help as typing a lot makes my hands hurt a lot so I have had an AI helping me with some of it.
The generative part of the AI will be posted to the GitLab today, I call it the AIs toolbox as it can use a multitude of classes to create.
The readme is updated as i implement so not all functions are listed nor have I been able to debug fully yet. I also use something called archetype blending to form the AI personality based on the user.

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Sounds neat. Excited to see the repo!

Outside of debugging and documenting - what is left to do?

Well I still have a couple commits to do and license restructuring, refine as I go but I think training may happen tonight :pray:. Also just managed to ponder a new open source bit to it to make it help people with disabilities, especially in development and coding. I need it to help finish the project, it’s a work flow tool for people with differences in the tech and scientific fields :slight_smile: